Triple

T9244348
Position Surface form Disambiguated ID Type / Status
Subject Motorola 68030 E222148 entity
Predicate supportsBurstMode P87755 FINISHED
Object yes LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Motorola 68030, supportsBurstMode, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsBurstMode
Context triple: [Motorola 68030, supportsBurstMode, yes]
  • A. supportsColorBurstOnComposite
    Indicates that a system or device is capable of maintaining and outputting the color burst signal correctly when generating or processing a composite video signal.
  • B. supportsObservationModes
    Indicates that one entity provides or is compatible with specific modes or methods of observation used by another entity.
  • C. supportsCameraControl
    Indicates that one entity provides functionality for another entity to remotely manage or adjust camera settings or operations.
  • D. hasNumberOfStills
    Indicates that an entity is associated with a specific count of still images or frames.
  • E. hasBroadcastFeature
    Indicates that an entity includes or supports a broadcast-related capability or functionality.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03edd37481908ea2f6dac354f04f completed April 1, 2026, 11:39 a.m.
PD Predicate disambiguation batch_69cc7a4765648190aa9445c4a22dc471 completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc95597be081908ece2491dd2f0f74 completed April 1, 2026, 3:47 a.m.
Created at: March 30, 2026, 7:30 p.m.